Machine Learning

Multiple-Inputs Convolutional Neural Network for COVID-19 Classification and Critical Region Screening From Chest X-ray Radiographs: Model Development and Performance Evaluation

Zhongqiang Li, Zheng Li, Luke Yao, Qing Chen, Jian Zhang, Xin Li, Ji-Ming Feng, Yanping Li, Jian Xu

JMIR Bioinform Biotech 2022 (Oct 04); 3(1):e36660

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Assessing the Topics and Motivating Factors Behind Human-Social Chatbot Interactions: Thematic Analysis of User Experiences

Vivian P Ta-Johnson, Carolynn Boatfield, Xinyu Wang, Esther DeCero, Isabel C Krupica, Sophie D Rasof, Amelie Motzer, Wiktoria M Pedryc

JMIR Hum Factors 2022 (Oct 03); 9(4):e38876

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Enabling Early Obstructive Sleep Apnea Diagnosis With Machine Learning: Systematic Review

Daniela Ferreira-Santos, Pedro Amorim, Tiago Silva Martins, Matilde Monteiro-Soares, Pedro Pereira Rodrigues

J Med Internet Res 2022 (Sep 30); 24(9):e39452

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Thinking Aloud or Screaming Inside: Exploratory Study of Sentiment Around Work

Marzia Hoque Tania, Md Razon Hossain, Nuzhat Jahanara, Ilya Andreev, David A Clifton

JMIR Form Res 2022 (Sep 30); 6(9):e30113

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An Assessment of Mentions of Adverse Drug Events on Social Media With Natural Language Processing: Model Development and Analysis

Deahan Yu, V G Vinod Vydiswaran

JMIR Med Inform 2022 (Sep 28); 10(9):e38140

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Detection of Depression Severity Using Bengali Social Media Posts on Mental Health: Study Using Natural Language Processing Techniques

Muhammad Khubayeeb Kabir, Maisha Islam, Anika Nahian Binte Kabir, Adiba Haque, Md Khalilur Rhaman

JMIR Form Res 2022 (Sep 28); 6(9):e36118

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Information System for Symptom Diagnosis and Improvement of Attention Deficit Hyperactivity Disorder: Protocol for a Nonrandomized Controlled Pilot Study

Niki Pandria, Vasileia Petronikolou, Aristotelis Lazaridis, Christos Karapiperis, Eleftherios Kouloumpris, Dimitris Spachos, Anestis Fachantidis, Dimitris Vasiliou, Ioannis Vlahavas, Panagiotis Bamidis

JMIR Res Protoc 2022 (Sep 28); 11(9):e40189

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Exploring Socioeconomic Status as a Global Determinant of COVID-19 Prevalence, Using Exploratory Data Analytic and Supervised Machine Learning Techniques: Algorithm Development and Validation Study

Luke Winston, Michael McCann, George Onofrei

JMIR Form Res 2022 (Sep 27); 6(9):e35114

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Treatment Discontinuation Prediction in Patients With Diabetes Using a Ranking Model: Machine Learning Model Development

Hisashi Kurasawa, Kayo Waki, Akihiro Chiba, Tomohisa Seki, Katsuyoshi Hayashi, Akinori Fujino, Tsuneyuki Haga, Takashi Noguchi, Kazuhiko Ohe

JMIR Bioinform Biotech 2022 (Sep 23); 3(1):e37951

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Data Exploration and Classification of News Article Reliability: Deep Learning Study

Kevin Zhan, Yutong Li, Rafay Osmani, Xiaoyu Wang, Bo Cao

JMIR Infodemiology 2022 (Sep 22); 2(2):e38839

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Evaluating Web-Based Automatic Transcription for Alzheimer Speech Data: Transcript Comparison and Machine Learning Analysis

Thomas Soroski, Thiago da Cunha Vasco, Sally Newton-Mason, Saffrin Granby, Caitlin Lewis, Anuj Harisinghani, Matteo Rizzo, Cristina Conati, Gabriel Murray, Giuseppe Carenini, Thalia S Field, Hyeju Jang

JMIR Aging 2022 (Sep 21); 5(3):e33460

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Medical Staff and Resident Preferences for Using Deep Learning in Eye Disease Screening: Discrete Choice Experiment

Senlin Lin, Liping Li, Haidong Zou, Yi Xu, Lina Lu

J Med Internet Res 2022 (Sep 20); 24(9):e40249

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Introducing JMIR AI

Khaled El Emam, Bradley Malin

JMIR AI 2022 (Sep 20); 1(1):e42046

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Predicting Therapeutic Response to Unfractionated Heparin Therapy: Machine Learning Approach

Ahmad Abdel-Hafez, Ian A Scott, Nazanin Falconer, Stephen Canaris, Oscar Bonilla, Sven Marxen, Aaron Van Garderen, Michael Barras

Interact J Med Res 2022 (Sep 19); 11(2):e34533

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One Clinician Is All You Need–Cardiac Magnetic Resonance Imaging Measurement Extraction: Deep Learning Algorithm Development

Pulkit Singh, Julian Haimovich, Christopher Reeder, Shaan Khurshid, Emily S Lau, Jonathan W Cunningham, Anthony Philippakis, Christopher D Anderson, Jennifer E Ho, Steven A Lubitz, Puneet Batra

JMIR Med Inform 2022 (Sep 16); 10(9):e38178

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Prediction of Specific Anxiety Symptoms and Virtual Reality Sickness Using In Situ Autonomic Physiological Signals During Virtual Reality Treatment in Patients With Social Anxiety Disorder: Mixed Methods Study

Joo Young Chun, Hyun-Jin Kim, Ji-Won Hur, Dooyoung Jung, Heon-Jeong Lee, Seung Pil Pack, Sungkil Lee, Gerard Kim, Chung-Yean Cho, Seung-Moo Lee, Hyeri Lee, Seungmoon Choi, Taesu Cheong, Chul-Hyun Cho

JMIR Serious Games 2022 (Sep 16); 10(3):e38284

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Automatically Identifying Twitter Users for Interventions to Support Dementia Family Caregivers: Annotated Data Set and Benchmark Classification Models

Ari Z Klein, Arjun Magge, Karen O'Connor, Graciela Gonzalez-Hernandez

JMIR Aging 2022 (Sep 16); 5(3):e39547

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Diagnosis of a Single-Nucleotide Variant in Whole-Exome Sequencing Data for Patients With Inherited Diseases: Machine Learning Study Using Artificial Intelligence Variant Prioritization

Yu-Shan Huang, Ching Hsu, Yu-Chang Chune, I-Cheng Liao, Hsin Wang, Yi-Lin Lin, Wuh-Liang Hwu, Ni-Chung Lee, Feipei Lai

JMIR Bioinform Biotech 2022 (Sep 15); 3(1):e37701

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Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course

Skander Tahar Mulder, Amir-Houshang Omidvari, Anja J Rueten-Budde, Pei-Hua Huang, Ki-Hun Kim, Babette Bais, Melek Rousian, Rihan Hai, Can Akgun, Jeanine Roeters van Lennep, Sten Willemsen, Peter R Rijnbeek, David MJ Tax, Marcel Reinders, Eric Boersma, Dimitris Rizopoulos, Valentijn Visch, Régine Steegers-Theunissen

J Med Internet Res 2022 (Sep 14); 24(9):e35675

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Optimizing Health Coaching for Patients With Type 2 Diabetes Using Machine Learning: Model Development and Validation Study

Shuang Di, Jeremy Petch, Hertzel C Gerstein, Ruoqing Zhu, Diana Sherifali

JMIR Form Res 2022 (Sep 13); 6(9):e37838

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